Florida was one of the first states to issue a formal AI ethics opinion for attorneys. The Florida Bar released Advisory Opinion 24-1 on January 19, 2024, establishing specific requirements around confidentiality, billing transparency, advertising compliance, and AI use disclosure. For the 80,976 attorneys in Miami, Tampa, Orlando, Jacksonville, Fort Lauderdale, and West Palm Beach, the rules are established and enforceable.
AI Regulation in Florida: The Current Landscape
Florida moved early on AI regulation for attorneys. The Florida Bar released Advisory AI Ethics Opinion 24-1 on January 19, 2024, making it one of the first states to issue formal, binding guidance on AI use in legal practice. The opinion confirmed that lawyers can use AI while establishing clear guardrails.
Opinion 24-1 addresses four key areas: confidentiality protections when using AI tools, billing transparency for AI-assisted work, compliance with advertising regulations when AI is involved in client communications, and mandatory disclosure of AI use when it impacts client billing or costs. The disclosure requirement is particularly notable because it goes beyond what most states require.
Florida's regulatory posture is progressive. As the third most populous state with 80,976 licensed attorneys and six major legal markets, Florida's framework influences attorney conduct across a massive footprint. The state didn't wait for problems to accumulate before acting, and the result is a framework that provides clarity rather than ambiguity.
What the Florida Bar Says About AI
Florida Bar Opinion 24-1 (January 2024) establishes five specific obligations for attorneys using AI.
First, lawyers may use generative AI but must take reasonable precautions to protect client confidentiality. This means evaluating the data handling practices of any AI tool before inputting client information. Consumer AI platforms that retain and train on user data are a confidentiality risk.
Second, firms must develop policies for oversight of AI use. This isn't a suggestion. Opinion 24-1 expects firms to have documented procedures governing how AI tools are selected, used, and supervised. Third, fees and costs must be reasonable. AI-assisted work should be billed at rates reflecting the actual effort involved, not inflated to match pre-AI timelines.
Fourth, and this is where Florida leads, lawyers must disclose AI use when it impacts client billing or costs. If you used AI to draft a motion in 2 hours instead of 8, the client has a right to know that, especially if it affects what they're paying. Fifth, all AI use must comply with Florida's advertising regulations, which is relevant for firms using AI in client-facing content.
Florida's opinion is one of the most practically useful in the country because it addresses the specific scenarios that cause confusion: billing, disclosure, and firm-level policies.
Court Rules and Judicial Guidance
Florida hasn't issued separate court-level rules on AI beyond what's covered by Opinion 24-1. No standing orders specific to AI-generated filings have been widely adopted across Florida's state courts.
Florida's federal courts, particularly the Southern District (Miami, Fort Lauderdale, West Palm Beach) and the Middle District (Tampa, Orlando, Jacksonville), may have individual judge orders on AI. Attorneys filing in federal courts should check the specific judge's requirements in addition to complying with Opinion 24-1.
Practical Implications for Florida Attorneys
Florida's framework creates concrete obligations that firms need to operationalize. The requirement to develop policies for oversight of AI use means every Florida firm should have a written AI policy. This isn't optional guidance; it's a stated expectation in a formal ethics opinion.
The disclosure requirement changes the client relationship dynamic. Florida attorneys must tell clients when AI use impacts billing or costs. This forces transparency and prevents the scenario where a firm uses AI to increase efficiency while maintaining pre-AI billing rates without disclosure. For firms in Miami, Fort Lauderdale, and other competitive markets, this creates pressure to demonstrate AI-driven value to clients.
The confidentiality requirement has practical implications for tool selection. Florida attorneys can't just use whatever AI tool is convenient. They need to evaluate each tool's data handling practices and ensure client information isn't being retained, shared, or used for training by the AI provider. This favors enterprise-grade AI solutions with clear data handling agreements over consumer-tier products.
What Attorneys in Florida Should Do
First, create your firm AI oversight policy if you don't have one. Opinion 24-1 expects it. The policy should cover: approved AI tools and their data handling practices, who can use AI for client work, review and verification requirements for AI output, billing practices for AI-assisted work, and when and how AI use is disclosed to clients.
Second, implement the disclosure requirement into your client communication workflow. Build it into your engagement letters, billing statements, or matter updates. When AI meaningfully impacts billing or costs on a matter, the client needs to know. Making this part of your standard process removes the risk of forgetting on a case-by-case basis.
Third, audit your AI tool stack for confidentiality compliance. For each AI tool your firm uses, answer: Does it retain input data? Does it use input data for model training? What are the data handling terms in the agreement? Can client information be accessed by the provider or third parties? If you can't answer these questions for a tool, don't use it for client work until you can.
The Bottom Line
Florida's Opinion 24-1 is one of the most practical and specific AI frameworks for attorneys in the country. The disclosure requirement for AI's impact on billing, the mandate to develop firm-level AI oversight policies, and the specific confidentiality obligations give Florida attorneys clear rules to follow. No ambiguity, no waiting.
AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.